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https://github.com/sockspls/badfish
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VVLTC search tune
Tuned at 111k games of VVLTC. Passed VVLTC 1st sprt: https://tests.stockfishchess.org/tests/view/664090c6d163897c63214324 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 83046 W: 21071 L: 20747 D: 41228 Ptnml(0-2): 2, 7574, 26048, 7896, 3 Passed VVLTC 2nd sprt: https://tests.stockfishchess.org/tests/view/6640cb2abaa6260a5688dc17 LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 68630 W: 17620 L: 17270 D: 33740 Ptnml(0-2): 4, 6242, 21471, 6596, 2 closes https://github.com/official-stockfish/Stockfish/pull/5240 Bench: 1752471
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1 changed files with 42 additions and 42 deletions
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@ -59,9 +59,9 @@ static constexpr double EvalLevel[10] = {0.981, 0.956, 0.895, 0.949, 0.913,
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// Futility margin
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Value futility_margin(Depth d, bool noTtCutNode, bool improving, bool oppWorsening) {
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Value futilityMult = 126 - 46 * noTtCutNode;
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Value improvingDeduction = 58 * improving * futilityMult / 32;
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Value worseningDeduction = (323 + 52 * improving) * oppWorsening * futilityMult / 1024;
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Value futilityMult = 131 - 48 * noTtCutNode;
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Value improvingDeduction = 57 * improving * futilityMult / 32;
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Value worseningDeduction = (309 + 52 * improving) * oppWorsening * futilityMult / 1024;
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return futilityMult * d - improvingDeduction - worseningDeduction;
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}
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@ -73,15 +73,15 @@ constexpr int futility_move_count(bool improving, Depth depth) {
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// Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range
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Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
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auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
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v += cv * std::abs(cv) / 7350;
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v += cv * std::abs(cv) / 7179;
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return std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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}
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// History and stats update bonus, based on depth
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int stat_bonus(Depth d) { return std::clamp(208 * d - 297, 16, 1406); }
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int stat_bonus(Depth d) { return std::clamp(200 * d - 280, 16, 1495); }
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// History and stats update malus, based on depth
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int stat_malus(Depth d) { return (d < 4 ? 520 * d - 312 : 1479); }
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int stat_malus(Depth d) { return (d < 4 ? 586 * d - 284 : 1639); }
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// Add a small random component to draw evaluations to avoid 3-fold blindness
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Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
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@ -310,12 +310,12 @@ void Search::Worker::iterative_deepening() {
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// Reset aspiration window starting size
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Value avg = rootMoves[pvIdx].averageScore;
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delta = 10 + avg * avg / 9530;
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delta = 10 + avg * avg / 9474;
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alpha = std::max(avg - delta, -VALUE_INFINITE);
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beta = std::min(avg + delta, VALUE_INFINITE);
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// Adjust optimism based on root move's averageScore (~4 Elo)
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optimism[us] = 119 * avg / (std::abs(avg) + 88);
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optimism[us] = 117 * avg / (std::abs(avg) + 88);
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optimism[~us] = -optimism[us];
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// Start with a small aspiration window and, in the case of a fail
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@ -502,10 +502,10 @@ void Search::Worker::clear() {
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for (StatsType c : {NoCaptures, Captures})
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for (auto& to : continuationHistory[inCheck][c])
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for (auto& h : to)
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h->fill(-60);
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h->fill(-62);
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for (size_t i = 1; i < reductions.size(); ++i)
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reductions[i] = int((18.93 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
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reductions[i] = int((21.19 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
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refreshTable.clear(networks);
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}
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@ -738,7 +738,7 @@ Value Search::Worker::search(
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// Use static evaluation difference to improve quiet move ordering (~9 Elo)
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if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
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{
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int bonus = std::clamp(-13 * int((ss - 1)->staticEval + ss->staticEval), -1796, 1526);
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int bonus = std::clamp(-12 * int((ss - 1)->staticEval + ss->staticEval), -1749, 1602);
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bonus = bonus > 0 ? 2 * bonus : bonus / 2;
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thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
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if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
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@ -761,7 +761,7 @@ Value Search::Worker::search(
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// If eval is really low check with qsearch if it can exceed alpha, if it can't,
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// return a fail low.
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// Adjust razor margin according to cutoffCnt. (~1 Elo)
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if (eval < alpha - 433 - (302 - 141 * ((ss + 1)->cutoffCnt > 3)) * depth * depth)
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if (eval < alpha - 473 - (308 - 138 * ((ss + 1)->cutoffCnt > 3)) * depth * depth)
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{
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value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
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if (value < alpha)
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@ -772,21 +772,21 @@ Value Search::Worker::search(
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// The depth condition is important for mate finding.
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if (!ss->ttPv && depth < 11
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&& eval - futility_margin(depth, cutNode && !ss->ttHit, improving, opponentWorsening)
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- (ss - 1)->statScore / 254
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- (ss - 1)->statScore / 258
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>= beta
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&& eval >= beta && eval < VALUE_TB_WIN_IN_MAX_PLY && (!ttMove || ttCapture))
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return beta > VALUE_TB_LOSS_IN_MAX_PLY ? (eval + beta) / 2 : eval;
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// Step 9. Null move search with verification search (~35 Elo)
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if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 16993
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&& eval >= beta && ss->staticEval >= beta - 19 * depth + 326 && !excludedMove
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if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 16079
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&& eval >= beta && ss->staticEval >= beta - 21 * depth + 324 && !excludedMove
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&& pos.non_pawn_material(us) && ss->ply >= thisThread->nmpMinPly
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&& beta > VALUE_TB_LOSS_IN_MAX_PLY)
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{
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assert(eval - beta >= 0);
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// Null move dynamic reduction based on depth and eval
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Depth R = std::min(int(eval - beta) / 134, 6) + depth / 3 + 4;
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Depth R = std::min(int(eval - beta) / 144, 6) + depth / 3 + 4;
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ss->currentMove = Move::null();
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ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
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@ -834,7 +834,7 @@ Value Search::Worker::search(
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// Step 11. ProbCut (~10 Elo)
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// If we have a good enough capture (or queen promotion) and a reduced search returns a value
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// much above beta, we can (almost) safely prune the previous move.
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probCutBeta = beta + 159 - 66 * improving;
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probCutBeta = beta + 177 - 65 * improving;
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if (
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!PvNode && depth > 3
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&& std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
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@ -890,7 +890,7 @@ Value Search::Worker::search(
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moves_loop: // When in check, search starts here
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// Step 12. A small Probcut idea, when we are in check (~4 Elo)
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probCutBeta = beta + 420;
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probCutBeta = beta + 428;
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if (ss->inCheck && !PvNode && ttCapture && (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 4 && ttValue >= probCutBeta
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
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@ -974,15 +974,15 @@ moves_loop: // When in check, search starts here
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// Futility pruning for captures (~2 Elo)
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if (!givesCheck && lmrDepth < 7 && !ss->inCheck)
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{
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Value futilityValue = ss->staticEval + 295 + 280 * lmrDepth
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Value futilityValue = ss->staticEval + 305 + 272 * lmrDepth
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+ PieceValue[capturedPiece] + captHist / 7;
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if (futilityValue <= alpha)
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continue;
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}
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// SEE based pruning for captures and checks (~11 Elo)
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int seeHist = std::clamp(captHist / 32, -197 * depth, 196 * depth);
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if (!pos.see_ge(move, -186 * depth - seeHist))
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int seeHist = std::clamp(captHist / 32, -185 * depth, 182 * depth);
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if (!pos.see_ge(move, -176 * depth - seeHist))
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continue;
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}
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else
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@ -993,18 +993,18 @@ moves_loop: // When in check, search starts here
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+ thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()];
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// Continuation history based pruning (~2 Elo)
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if (lmrDepth < 6 && history < -4081 * depth)
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if (lmrDepth < 6 && history < -4360 * depth)
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continue;
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history += 2 * thisThread->mainHistory[us][move.from_to()];
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lmrDepth += history / 4768;
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lmrDepth += history / 4507;
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Value futilityValue =
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ss->staticEval + (bestValue < ss->staticEval - 52 ? 134 : 54) + 142 * lmrDepth;
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ss->staticEval + (bestValue < ss->staticEval - 54 ? 142 : 55) + 132 * lmrDepth;
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// Futility pruning: parent node (~13 Elo)
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if (!ss->inCheck && lmrDepth < 13 && futilityValue <= alpha)
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if (!ss->inCheck && lmrDepth < 11 && futilityValue <= alpha)
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{
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if (bestValue <= futilityValue && std::abs(bestValue) < VALUE_TB_WIN_IN_MAX_PLY
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&& futilityValue < VALUE_TB_WIN_IN_MAX_PLY)
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@ -1015,7 +1015,7 @@ moves_loop: // When in check, search starts here
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lmrDepth = std::max(lmrDepth, 0);
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// Prune moves with negative SEE (~4 Elo)
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if (!pos.see_ge(move, -28 * lmrDepth * lmrDepth))
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if (!pos.see_ge(move, -27 * lmrDepth * lmrDepth))
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continue;
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}
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}
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@ -1035,11 +1035,11 @@ moves_loop: // When in check, search starts here
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// so changing them requires tests at these types of time controls.
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// Recursive singular search is avoided.
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if (!rootNode && move == ttMove && !excludedMove
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&& depth >= 4 - (thisThread->completedDepth > 32) + ss->ttPv
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&& depth >= 4 - (thisThread->completedDepth > 33) + ss->ttPv
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&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 3)
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{
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Value singularBeta = ttValue - (65 + 52 * (ss->ttPv && !PvNode)) * depth / 63;
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Value singularBeta = ttValue - (59 + 49 * (ss->ttPv && !PvNode)) * depth / 64;
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Depth singularDepth = newDepth / 2;
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ss->excludedMove = move;
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@ -1049,10 +1049,10 @@ moves_loop: // When in check, search starts here
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if (value < singularBeta)
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{
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int doubleMargin = 251 * PvNode - 241 * !ttCapture;
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int doubleMargin = 285 * PvNode - 228 * !ttCapture;
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int tripleMargin =
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135 + 234 * PvNode - 248 * !ttCapture + 124 * (ss->ttPv || !ttCapture);
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int quadMargin = 447 + 354 * PvNode - 300 * !ttCapture + 206 * ss->ttPv;
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121 + 238 * PvNode - 259 * !ttCapture + 117 * (ss->ttPv || !ttCapture);
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int quadMargin = 471 + 343 * PvNode - 281 * !ttCapture + 217 * ss->ttPv;
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extension = 1 + (value < singularBeta - doubleMargin)
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+ (value < singularBeta - tripleMargin)
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@ -1093,7 +1093,7 @@ moves_loop: // When in check, search starts here
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else if (PvNode && move == ttMove && move.to_sq() == prevSq
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&& thisThread->captureHistory[movedPiece][move.to_sq()]
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[type_of(pos.piece_on(move.to_sq()))]
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> 4016)
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> 4041)
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extension = 1;
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}
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@ -1144,10 +1144,10 @@ moves_loop: // When in check, search starts here
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ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()]
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+ (*contHist[0])[movedPiece][move.to_sq()]
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+ (*contHist[1])[movedPiece][move.to_sq()] - 5078;
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+ (*contHist[1])[movedPiece][move.to_sq()] - 5313;
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// Decrease/increase reduction for moves with a good/bad history (~8 Elo)
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r -= ss->statScore / (17662 - std::min(depth, 16) * 105);
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r -= ss->statScore / (16145 - std::min(depth, 15) * 102);
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// Step 17. Late moves reduction / extension (LMR, ~117 Elo)
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if (depth >= 2 && moveCount > 1 + rootNode)
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{
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// Adjust full-depth search based on LMR results - if the result
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// was good enough search deeper, if it was bad enough search shallower.
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const bool doDeeperSearch = value > (bestValue + 40 + 2 * newDepth); // (~1 Elo)
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const bool doDeeperSearch = value > (bestValue + 41 + 2 * newDepth); // (~1 Elo)
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const bool doShallowerSearch = value < bestValue + newDepth; // (~2 Elo)
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newDepth += doDeeperSearch - doShallowerSearch;
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@ -1327,9 +1327,9 @@ moves_loop: // When in check, search starts here
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// Bonus for prior countermove that caused the fail low
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else if (!priorCapture && prevSq != SQ_NONE)
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{
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int bonus = (depth > 5) + (PvNode || cutNode) + ((ss - 1)->statScore < -14455)
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+ ((ss - 1)->moveCount > 10) + (!ss->inCheck && bestValue <= ss->staticEval - 130)
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+ (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 77);
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int bonus = (depth > 5) + (PvNode || cutNode) + ((ss - 1)->statScore < -14323)
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+ ((ss - 1)->moveCount > 10) + (!ss->inCheck && bestValue <= ss->staticEval - 127)
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+ (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 76);
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update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq,
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stat_bonus(depth) * bonus);
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thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()]
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if (bestValue > alpha)
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alpha = bestValue;
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futilityBase = ss->staticEval + 270;
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futilityBase = ss->staticEval + 259;
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}
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const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory,
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@ -1560,11 +1560,11 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
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+ (*contHist[1])[pos.moved_piece(move)][move.to_sq()]
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+ thisThread->pawnHistory[pawn_structure_index(pos)][pos.moved_piece(move)]
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[move.to_sq()]
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<= 4000)
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<= 4057)
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continue;
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// Do not search moves with bad enough SEE values (~5 Elo)
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if (!pos.see_ge(move, -69))
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if (!pos.see_ge(move, -68))
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continue;
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}
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@ -1630,7 +1630,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
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Depth Search::Worker::reduction(bool i, Depth d, int mn, int delta) {
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int reductionScale = reductions[d] * reductions[mn];
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return (reductionScale + 1318 - delta * 760 / rootDelta) / 1024 + (!i && reductionScale > 1066);
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return (reductionScale + 1284 - delta * 755 / rootDelta) / 1024 + (!i && reductionScale > 1133);
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}
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// elapsed() returns the time elapsed since the search started. If the
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